# Non-production Azure OpenAI deployments using PTUs instead of PAYG Canonical: https://www.pointfive.co/efficiency-hub/inefficiencies/non-production-azure-openai-deployments-using-ptus-instead-of-payg-9fe81 Development, testing, QA, and sandbox environments rarely have the steady, predictable traffic patterns needed to justify PTU deployments. By: Ariel Fishman-Lichterman Updated: 2026-09-28 [Cloud Efficiency Hub](https://www.pointfive.co/efficiency-hub) # Non-Production Azure OpenAI Deployments Using PTUs Instead of PAYG The short version Development, testing, QA, and sandbox environments rarely have the steady, predictable traffic patterns needed to justify PTU deployments. [Ariel Fishman-Lichterman](https://www.linkedin.com/in/ariel-fishman-lichterman-01a096214/) Cloud Researcher @ PointFive Azure service [Azure Cognitive Services](https://www.pointfive.co/efficiency-hub/cloud-services/azure-cognitive-services) Category [AI](https://www.pointfive.co/efficiency-hub/service-category/ai) Reference CER-0248 Type Suboptimal Pricing Model ## Explanation Why the waste happens and who it affects. These workloads often run intermittently, with lower throughput and shorter usage windows. When PTUs are assigned to such environments, the fixed hourly billing generates continuous cost with little utilization. Switching non-production workloads to PAYG aligns cost with actual usage and eliminates the overhead of managing PTU quota in low-stakes environments. ## Billing model The pricing dimensions that drive this cost. PAYG charges per input and output token, making it cost-efficient for sporadic or low-volume workloads. PTUs incur fixed hourly charges regardless of utilization. Using PTUs in non-production environments typically results in paying for unused capacity. ## How to detect 4 checks to find it in your estate. - Identify OpenAI deployments in dev, test, QA, or sandbox environments running on PTUs - Review utilization patterns showing intermittent or low-throughput activity - Evaluate whether non-production environments require dedicated throughput or low-latency guarantees - Check for PTU deployments where performance requirements could be met by PAYG consumption ## How to fix 4 ways to remove the waste. - Migrate non-production OpenAI deployments from PTUs to PAYG to align cost with usage - Create environment-based deployment standards specifying PAYG as the default for non-prod workloads - Implement workload reviews to validate whether PTU performance guarantees are truly required - Periodically assess non-production usage patterns to prevent unnecessary PTU provisioning ## Documentation Vendor references for pricing and configuration. - [Provisioned throughput billing and cost management learn.microsoft.com](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput-billing) - [Azure OpenAI pricing azure.microsoft.com](https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/) ## Related inefficiencies [Browse the library](https://www.pointfive.co/efficiency-hub) - Azure Cognitive Services CER-0246 ### [Missing Reserved PTUs for Steady-State Azure OpenAI Workloads](https://www.pointfive.co/efficiency-hub/inefficiencies/missing-reserved-ptus-for-steady-state-azure-openai-workloads-f78d4) Many production Azure OpenAI workloads - such as chatbots, inference services, and retrieval-augmented generation (RAG) pipelines-use PTUs consistently throughout the day. When usage stabilizes after initial experimentation, continuing to... AI - Azure Cognitive Services CER-0510 ### [Regional Standard Azure OpenAI Deployments Without a Data Residency Requirement](https://www.pointfive.co/efficiency-hub/inefficiencies/regional-standard-azure-openai-deployments-without-a-data-residency-requirement) Azure OpenAI models in Microsoft Foundry (formerly Azure AI services) can be deployed as Global, Data Zone or regional (Standard) pay-per-token deployments. The types differ in where prompts and responses are processed: Global may use any... AI - Azure Cognitive Services CER-0511 ### [Missing Commitment Tier for High-Volume Foundry Tools (Azure AI Services)](https://www.pointfive.co/efficiency-hub/inefficiencies/missing-commitment-tier-for-high-volume-foundry-tools-azure-ai-services) Foundry Tools (formerly Azure AI services and Cognitive Services) such as Speech, Translator, Azure Language, Vision OCR and Document Intelligence bill per unit of usage on the default Standard pricing: per audio hour, per million... AI --- Source: the public page above. Product screenshots and illustrative interfaces are examples, not live customer data.